Improving False Positive In Bloom Filter
Publish place: 19th Iranian Conference on Electric Engineering
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE19_144
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
Bloom filter is a space-efficient data structure used for supporting membership queries, e.g. pattern matching. Bloom filter is used in many network processing applications. For instance, in today's internet, viruses, worms and network intruders cause service damages with enormous economic impact. In many security systems, such as intrusion detection systems we need to inspect packets' header and payload for predefined strings (called signatures) to detect malicious packets. Pattern matching process is usually deployed in routers and should keep pace with high network speed. Therefore pattern matching algorithms may become critical bottleneck in intrusion detection systems. Hence hardwarebased techniques like Bloom filter are preferred rather than software-based solutions, to meet the performance goals. In this paper we describe a technique to improve Bloom filter performance. Simulation results and analysis show that false alarms decrease significantly using this technique
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Authors
Farzaneh Sadat Tabataba
Electrical and Computer Engineering Department, Isfahan University of Technology
Masoud Reza Hashemi
Electrical and Computer Engineering Department, Isfahan University of Technology
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